Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8213e66a5880f44d04b5f482ede7410d04848fdf95ab2cda1527425e330d5cb5
- Size of remote file:
- 14.6 kB
- SHA256:
- eaceda99e22a38324dd266a50443dbbb28981fc56530dd89c4d3d8da659af728
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